AI for proactive risk management in fleet insurance
Using artificial intelligence, motor insurers can make informed business decisions based on actual risk and proactively influence customer risk with data-driven insights.
New Mobility
Crash Probability Dashboard
Greater Than’s Crash Probability Dashboard provides a dynamic view of risk level in real-time across an entire driving population.
AI in risk management: how and why?
AI in risk management can predict crashes before they happen, putting risk managers in greater control than ever before. AI can also predict climate impact, supporting organizations with sustainability and ESG.
World Day for Safety and Health at Work: Fleet Risk Management Focus
The theme of the 2023 World Day for Safety and Health at Work is “a safe and healthy working environment is a fundamental principle and right at work.” We've chosen to examine the way fleet risk management fits into this.
Distracted Driving Awareness Month: considering crashes and climate
We’re pleased to support efforts to reduce road crashes and have chosen to join the conversation around Distracted Driving Awareness Month by taking a wider view of distracted driving.
How Japan is leading the way in sustainable new mobility
AI gives mobility providers a new level of understanding for dynamic pricing and greater control over risk and insurance costs while enabling customer-centric solutions that reward sustainable driving.
Understanding pattern profiling in driver risk management
AI pattern profiling in driver risk management works in a similar way to facial recognition, but instead of comparing data to faces, it compares it to a database of known vehicle trips.
The positive role brands can play in consumer sustainability
For businesses, the sustainability push is driven largely by the United Nations’ Sustainable Development Goals, along with the growing regulations and requirements around sustainability and ESG reporting.
New predictive capabilities of AI in motor insurance
Pattern AI in motor insurance is facilitating the prediction of not only crash probability, but also crash type and associated cost, enabling accurate loss forecasting.
Pattern AI is transforming driver risk management
The needs of fleets are changing fast. Thankfully, AI is enabling driver risk management providers to take their solutions to another level by identifying crash probability and climate impact.
New sustainability regulations – get ahead now
Sustainability regulations are changing fast, and the current lack of uncertainty is a challenge for organizations.
Why well-being matters in driver safety management
Managing safety is a number one priority for many fleets and mobility companies. The challenge is how to measure and understand driver health while respecting driver privacy.